PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-04 10:21:37.773154+00:00 (UTC)
In US/Central Time, this is 2024-07-04 05:21:37.773154-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/abc59cdc4dcd0ac334a289bc4021076875e0a8bb467f35350a2cc77fb6cd3a69.png
We are just generating a random time serie here.
../_images/490c6c5a74bbc1f8452d29c7b3a1d20b7a6beccd341c093ea8844cd5b0d47aa8.png
../_images/7c003393bdcf6ecd1a0261fbbc447f350253b17832f5b3ff0e73dbdb5f83c1ce.png